Urban Metabolism Based on Emergy and Slack Based Model: A Case Study of Beijing, China

被引:0
|
作者
SONG Tao [1 ,2 ,3 ]
CAI Jianming [1 ]
XU Hui [3 ]
DENG Yu [1 ]
NIU Fangqu [1 ,4 ]
YANG Zhenshan [1 ]
DU Shanshan [5 ]
机构
[1] Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences
[2] University of Chinese Academy of Sciences
[3] Environmental Engineering, Division of Engineering and Applied Sciences, Harvard University
[4] Key Laboratory of Regional Sustainable Development Modeling, Chinese Academy of Sciences
[5] College of Arts & Sciences, Beijing Union University
基金
中国国家自然科学基金;
关键词
emergy theory; urban metabolism; slack based model(SBM); Beijing Municipality; regression analysis;
D O I
暂无
中图分类号
F299.2 [中国];
学科分类号
1204 ;
摘要
The key to studying urban sustainable development depends on quantifying stores, efficiencies of urban metabolisms and capturing urban metabolisms′ mechanisms. This paper builds up the metabolic emergy account and quantifies some important concepts of emergy stores. Emphasis is placed on the urban metabolic model based on the slack based model(SBM) method to measure urban metabolic efficiencies. Urban metabolic mechanisms are discussed by using the regression method. By integrating these models, this paper analyzes the urban metabolic development in Beijing from 2001 to 2010. We conclude that the metabolic emergy stores of Beijing increased significantly from 2001 to 2010, with the emergy imported accounting for most of the increase. The metabolic efficiencies in Beijing have improved since the 2008 Olympic Games. The population, economic growth, industrial structures, and environmental governance positively affect the overall urban metabolism, while the land expansion, urbanization and environmentally technical levels hinder the improving of urban metabolic efficiencies. The SBM metabolic method and the regression model based on the emergy analysis provide insights into the urban metabolic efficiencies and the mechanism. They can promote to integrate such concepts into their sustainability analyses and policy decisions.
引用
收藏
页码:113 / 123
页数:11
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